Journal of Translational Medicine (Aug 2024)

Paired organoids from primary gastric cancer and lymphatic metastasis are useful for personalized medicine

  • Ruixin Yang,
  • Yao Qi,
  • Wingyan Kwan,
  • Yutong Du,
  • Ranlin Yan,
  • Lu Zang,
  • Xuexin Yao,
  • Chen Li,
  • Zhenggang Zhu,
  • Xiaoyan Zhang,
  • Hengjun Gao,
  • Io Hong Cheong,
  • Zisis Kozlakidis,
  • Yingyan Yu

DOI
https://doi.org/10.1186/s12967-024-05512-0
Journal volume & issue
Vol. 22, no. 1
pp. 1 – 17

Abstract

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Abstract Background Organoids are approved by the US FDA as an alternative to animal experiments to guide drug development and for sensitivity screening. Stable organoids models of gastric cancer are desirable for personalized medicine and drug screening. Methods Tumor tissues from a primary cancer of the stomach and metastatic cancer of the lymph node were collected for 3D culture. By long-term culture for over 50 generations in vitro, we obtained stably growing organoid lines. We analyzed short tandem repeats (STRs) and karyotypes of cancer cells, and tumorigenesis of the organoids in nude mice, as well as multi-omics profiles of the organoids. A CCK8 method was used to determine the drugs sensitivity to fluorouracil (5-Fu), platinum and paclitaxel. Results Paired organoid lines from primary cancer (SPDO1P) and metastatic lymph node (SPDO1LM) were established with unique STRs and karyotypes. The organoid lines resulted in tumorigenesis in vivo and had clear genetic profiles. Compared to SPDO1P from primary cancer, upregulated genes of SPDO1LM from the metastatic lymph node were enriched in pathways of epithelial-mesenchymal transition and angiogenesis with stronger abilities of cell migration, invasion, and pro-angiogenesis. Based on drug sensitivity analysis, the SOX regimen (5-Fu plus oxaliplatin) was used for chemotherapy with an optimal clinical outcome. Conclusions The organoid lines recapitulate the drug sensitivity of the parental tissues. The paired organoid lines present a step-change toward living biobanks for further translational usage.

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